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    • Applied Data Science

    Applied Data Science Courses Online

    Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.

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    Explore the Applied Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Database Fundamentals

      Skills you'll gain: MongoDB, NoSQL, Databases, PostgreSQL, Relational Databases, Data Store, SQL, Applied Machine Learning, Artificial Intelligence, Database Architecture and Administration, Database Management, Natural Language Processing, Apache Cassandra, Text Mining, Generative AI, Database Management Systems, Node.JS, Image Analysis, Data Architecture, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Methodologies

      Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Business Research, Market Research, Research Design, Sample Size Determination, Survey Creation, Interviewing Skills, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      400 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Your First Python Program From UST

      Skills you'll gain: Python Programming, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Converter Control

      Skills you'll gain: Control Systems, Power Electronics, Electronic Systems, Electrical Engineering, Systems Analysis, Electronics, Engineering Analysis, Systems Design, Plot (Graphics), Mathematical Modeling, Graphical Tools

      4.8
      Rating, 4.8 out of 5 stars
      ·
      646 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Impacts of the Environment on Global Public Health

      Skills you'll gain: Demography, Environmental Regulations, Environment Health And Safety, Social Justice, Systems Thinking, Environmental Policy, Environmental Issue, Public Health, Health Equity, Environment, Health Disparities, Health Systems, Health Policy, Environmental Science, Pollution Prevention, Risk Management, Sanitation, Energy and Utilities, Mitigation, Occupational Safety and Health Administration (OSHA)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      236 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Cyber Attack Countermeasures

      Skills you'll gain: Authentications, Public Key Infrastructure, Cryptography, Data Encryption Standard, Computer Security, Cybersecurity, Network Security, Security Controls, Encryption, Multi-Factor Authentication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      701 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      Migrating to the AWS Cloud

      Skills you'll gain: Amazon Web Services, Data Migration, Cloud Management, Cloud Infrastructure, Cloud Security, Data Import/Export, Cloud Computing, Cloud Applications, Infrastructure Architecture

      4.5
      Rating, 4.5 out of 5 stars
      ·
      236 reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      RNA Biology with Eterna

      Skills you'll gain: Molecular Biology, Bioinformatics, Biochemistry, Chemical and Biomedical Engineering, Biology, Medical Science and Research, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      124 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      National Academy of Sports Medicine

      Nutrition Education for the Consumer

      Skills you'll gain: Nutrition and Diet, Nutrition Education, Dietetics, Patient Education And Counseling, Clinical Nutrition, Food Quality Assurance And Control, Scientific Methods, Health Assessment, Food and Beverage, Regulatory Compliance, Preventative Care, Critical Thinking, Psychology, Medical Science and Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      134 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Visualization for Data Journalism

      Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Presentation, Infographics, Data Visualization Software, Data Storytelling, Plotly, Matplotlib, Journalism, Graphing, Data Literacy, Color Theory, Data Manipulation, Design Elements And Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Source Systems, Data Ingestion, and Pipelines

      Skills you'll gain: Apache Airflow, Data Pipelines, Data Integration, AWS Kinesis, Infrastructure as Code (IaC), Terraform, Extract, Transform, Load, Amazon CloudWatch, Data Quality, Amazon Web Services, CI/CD, Data Processing, Data Transformation, NoSQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      106 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Introduction to 3D Modeling

      Skills you'll gain: 3D Modeling, Design Elements And Principles, Visualization (Computer Graphics), Computer-Aided Design, Design, Mechanical Design, Architectural Design, Virtual Environment, Creativity

      4.2
      Rating, 4.2 out of 5 stars
      ·
      39 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

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    In summary, here are 10 of our most popular applied data science courses

    • Vector Database Fundamentals: IBM
    • Research Methodologies: Queen Mary University of London
    • Create Your First Python Program From UST: Coursera Project Network
    • Converter Control: University of Colorado Boulder
    • Impacts of the Environment on Global Public Health: University of Michigan
    • Cyber Attack Countermeasures: New York University
    • Migrating to the AWS Cloud: Amazon Web Services
    • RNA Biology with Eterna: Stanford University
    • Nutrition Education for the Consumer: National Academy of Sports Medicine
    • Visualization for Data Journalism: University of Illinois Urbana-Champaign

    Frequently Asked Questions about Applied Data Science

    People who are best suited for working in data science have a strong mix of technical skills and complex problem-solving skills. Beyond the job-related skills, people should have strong critical reasoning abilities, which are needed to help them analyze data and solve problems. Creativity, attention to detail, and strong communication skills allow data scientists to translate their analytical findings into actions that business leaders and decision-makers can take. Because this field continues evolving, people in data science should also be enthusiastic about learning new things and willing to constantly expand their skills.‎

    Are you passionate about using data to solve complex problems? Do you enjoy working in both the business and technology fields? Do you have a thirst for learning new things? If you can answer yes to any or all of those questions, learning data science may well be an ideal course for you. Additionally, if you're looking for a field that's in high demand and applicable to a variety of potential positions, it's hard to top data science. It's among the fastest-growing fields, and by 2026 it's predicted to create more than 11 million new jobs, according to the Bureau of Labor Statistics.‎

    Data science opens up a variety of potential career paths, including data scientist, machine learning engineer, data architect, and business intelligence developer. Most people who work in data science start with entry-level jobs like junior data scientist or data analyst after earning a bachelor's degree in computer science or a related field. Some people work their way up from entry-level jobs. Others pursue certifications or trainings specific to systems. To access the largest pool of opportunities, you might want to get a master's or doctoral degree in information technology or computer science.‎

    Data scientists work in a variety of industries, including big tech companies like Google and IBM, financial organizations, pharmaceutical companies, retailers, and even fashion houses. Data scientists work on many different types of jobs, which makes their work valuable to many different types of industries. For example, data scientists might work in fraud identification, market analysis, or manufacturing analysis. Or they might work on projects that task them with analyzing large amounts of data and putting it into reports and dashboards to help stakeholders better understand the significance. Data science can be helpful for marketing, sales, and so much more.‎

    Online Applied Data Science courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Data Science skills. With a wide range of Applied Data Science classes, you can conveniently learn at your own pace to advance your Applied Data Science career skills.‎

    When looking to enhance your workforce's skills in Applied Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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